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Dr Eduwin Pakpahan

Assistant Professor

Department: Mathematics, Physics and Electrical Engineering

I completed my first degree in Statistics at Bogor Agricultural University, Indonesia, and PhD at University of Perugia, Italy (2012). My thesis examined the causal inference in Gaussian graphical Markov model (an extension of the instrumental variable method). Then I moved to European University Institute, Firenze as a research associate, and in Nov 2016 I moved to UK; first to School of Health Science, Univ of East Anglia, Norwich, then in Sept 2017 to Newcastle University.

I joined ϲ in June 2020 as a lecturer in statistics at Dept of Mathematics, Physics and Electrical Engineering. My research interests are in the mixed effect model and generalized latent variable model with application in health and social sciences (particularly in aging research and using cross-country cohort studies, such as SHARE, ELSA, or HRS). In addition, not limited to the statistical side, I am also interested in "causal reasoning" and the interplay between quantitative and qualitative approaches.

ORCID ID:

Eduwin Pakpahan

Mixed effect model and longitudinal data analysis
Graphical model and multivariate analysis
Life-course models in aging
Epidemiology and Public Health

In collaboration with colleagues from Newcastle and Nottingham, among others, we are developing the risk prediction model of dementia in low- and middle-income countries (LMIC).

Ridho Al Izzati The long-arm of childhood: Cross-national comparisons using Big Cohort Data Start Date: 01/10/2023

  • PhD December 11 2012
  • Fellow Society for Longitudinal & Life Course Studies (SLLS) 2013
  • Fellow Royal Statistical Society (RSS) 2013


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